geosimilarity: Geographically Optimal Similarity

Spatial prediction can be performed based on the geographical similarity theory. Geographically optimal similarity (GOS) model is a generalized model for accurate and reliable spatial prediction based on the geographical similarity theory.

Version: 1.1
Depends: R (≥ 4.1.0)
Imports: stats, SecDim
Published: 2022-05-17
Author: Yongze Song ORCID iD [aut, cre]
Maintainer: Yongze Song < at>
License: GPL-2
NeedsCompilation: no
CRAN checks: geosimilarity results


Reference manual: geosimilarity.pdf


Package source: geosimilarity_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): geosimilarity_1.1.tgz, r-oldrel (arm64): geosimilarity_1.1.tgz, r-release (x86_64): geosimilarity_1.1.tgz, r-oldrel (x86_64): geosimilarity_1.1.tgz


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